Browsing by Author "Sseremba, G"
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- ItemFarmers’ Selection Cues in Cowpea for Vegetable Use in Eastern Uganda(African journal of food, agriculture, nutrition and development, 2022) Kizito, Elizabeth B; Kyebalyenda, T; Nakanwagi, MJ; Sseremba, G; Buteme, R; Kabod, PN1; Odeke; Amayo, R; Runyararo, JR; Egeru, A; Falk, TA participatory cowpea varietal selection was carried out in Eastern Uganda in the Kumi district among farmers (n=30) in the sub-Counties of Ongino, Kumi and Kanyum. An arange of opinions were collected to identify farmers’ selection criteria based on different sensory attributes and their most preferred genotypes for vegetable use. A Apreference analysis was carried out to obtain quantitative preference scores of each plot. This was followed by organoleptic tests which included attributes like taste, aroma and texture of the genotypes at the vegetative and immature R4 stages. Focus group discussions (FGDs) were also held to find a consensus of the independent evaluations made by individual farmers. Data for sixteen (16) cowpea genotypes were collected at the different above-mentioned stages. Quantitative data were analyzed based on farmers’ scores made on the different evaluated attributes and ANOVA was used to provide mean differences between location, gender and genotype at a significant level of 5%. The preference score for each of the varieties tested was determined and presented. Data from FGDs were grouped, similarities and differences were later determined depending on their level of importance to the farmers. Significant differences (p<0.05) in farmer choices were observed for leaf taste, immature pod aroma, taste and texture; mature pod aroma, taste between farmer groups, age genotype and gender. Irrespective of age, gender, farmer group and genotype, farmers seemed to give more importance to the smooth texture, little hard leaves when chewing, sweet taste with a mild aroma (leaves) and a moderate aroma (pods). Majority (9%) of the farmers preferred Ebelat (landrace) at V4 stage; this was followed by Danila (8.7%). On the other hand, UCUCOW1 (13% at immature and 10.2% at mature cooked R4 stage) followed by Ebelat (9% and 9.8% for immature and mature R4 stage, respectively) were preferred by the majority of the farmers. In terms of sensory attributes, farmers preferred genotypes with a sweet taste, moderate aroma and tender texture. The information is a baseline for understanding key farmer selection criteria in the utilization of cowpea as a vegetable which can be used in generating a demand-led variety design for the crop.
- ItemLinear Discriminant Analysis of Structure Within African Eggplant ‘Shum’(African Crop Science Society, 2018) Sseremba, G; Tongoona, P; Eleblu, J.S.Y.; Danquah, E.Y; Kizito, Elizabeth B.African eggplant (Solanum aethiopicum) lags behind in terms of research attention; leading to, among other gaps,scantiness of information on intra-group genetic diversity. Hierarchical clustering was applied to reveal structure in a pioneer 20-entry set of S. aethiopicum Shum group accessions at Africa Solanaceae Research Network secretariat in Uganda, using 61 morpho-agronomic variables collected from a complete randomised design (CRD) with 12 plants per accession in screen-house. A MANOVA preceded linear discriminant analysis, to model each of 61 variables, as predicted by clusters and experiment to filter out non-significant traits. Four distinct clusters emerged, with a cophenetic relation coefficient of 0.87 (P<0.01). Canonical variates that best predicted the observed clusters include petiole length, sepal length (or seed color), fruit calyx length, seeds per fruit, leaf fresh weight (or leaves per plant), fruit fresh yield, seedling vigour, fruits per plant, harvest index and plant growth habit. Results suggest prospects for variety discrimination at various stages; seedling, vegetative and reproductive. The observed diversity will boost chances of effective selection for desired traits; while the canonical discriminant traits are potential morphological markers, within S. aethiopicum ‘Shum’ for a low-cost germplasm characterization approach.